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Published online by Cambridge University Press:  22 October 2021

Bryan S. Turner
Affiliation:
National University of Singapore
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Summary

face-to-face group

– see group(s).

face work

– see Erving Goffman.

factor analysis

One of the most widely used, and misused, of the complex multivariate statistics that have become more accessible since the spread of computing power, this can reduce a larger number of measured variables into a smaller number of latent variables, or “factors.” It is thus a “data reduction” technique, aimed at simplifying data while retaining its important features.

Factor analyses take as their input a number of different variables, usually all measuring similar related constructs (such as items in a standard personality questionnaire). The correlations between these measures are computed, and the number of dimensions (in a multi-dimensional space) that one needs to extract to describe the important variance, while screening out the error variance, is estimated. These factors are then constructed, and rotated to facilitate their interpretation. Finally, each case can be given a score on the newly created factors, for instance to describe respondents’ personality along each dimension of the model.

Factor analysis was critical to the conceptualization and development of research into intelligence and personality in early and mid-twentiethcentury psychology. For instance, R. B. Cattell, in The Scientific Analysis of Personality (1965), started by extracting all of the words in the English language to describe personality. Even after removing synonyms, there were still thousands of words. So Cattell used factor analysis to reduce this down to a list of fourteen personality scales, which became a standard model for many years in personnel selection and social research. H. J. Eysenck, in The Scientific Study of Personality (1982), went a stage further, and produced a model with just two dimensions, extraversion–introversion and neurotic– stable (and later a third dimension, psychoticism).

The initial appeal of factor analysis is that it would provide a scientific basis for answering some fundamental questions, such as how many dimensions there are to human personality or intelligence. Unfortunately, this promise to provide a scientific objectivity has not materialized, and in many cases different researchers, each using factor analyses, have arrived at very different conclusions.

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Publisher: Cambridge University Press
Print publication year: 2006

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  • F
  • Edited by Bryan S. Turner, National University of Singapore
  • Book: The Cambridge Dictionary of Sociology
  • Online publication: 22 October 2021
  • Chapter DOI: https://doi.org/10.1017/9781316135334.008
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  • F
  • Edited by Bryan S. Turner, National University of Singapore
  • Book: The Cambridge Dictionary of Sociology
  • Online publication: 22 October 2021
  • Chapter DOI: https://doi.org/10.1017/9781316135334.008
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • F
  • Edited by Bryan S. Turner, National University of Singapore
  • Book: The Cambridge Dictionary of Sociology
  • Online publication: 22 October 2021
  • Chapter DOI: https://doi.org/10.1017/9781316135334.008
Available formats
×